Abhinav Kumar

20222023202420251 13 53 5

Amit SharmaPrincipal Researcher, Microsoft Research在 cornell.edu 的电子邮件经过验证
Aniket VashishthaUniversity of Illinois Urbana Champaign在 illinois.edu 的电子邮件经过验证
Vineeth N BalasubramanianProfessor, Indian Institute of Technology, Hyderabad, India在 iith.ac.in 的电子邮件经过验证
Amit DeshpandeMicrosoft Research在 microsoft.com 的电子邮件经过验证
Chenhao TanUniversity of Chicago在 chenhaot.com 的电子邮件经过验证
Gaurav SinhaPrincipal Researcher at Microsoft Research在 microsoft.com 的电子邮件经过验证
Kirankumar ShiragurPostdoctoral researcher在 stanford.edu 的电子邮件经过验证
Caroline UhlerMassachusetts Institute of Technology在 mit.edu 的电子邮件经过验证

Abhinav Kumar

Ph.D. Candidate, MIT

在 mit.edu 的电子邮件经过验证 - 首页


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Causal Inference Using LLM-Guided Discovery A Vashishtha, AG Reddy, A Kumar, S Bachu, VN Balasubramanian, ... arXiv preprint arXiv:2310.15117, 2023	31	2023
Probing classifiers are unreliable for concept removal and detection A Kumar, C Tan, A Sharma Advances in Neural Information Processing Systems 35, 17994-18008, 2022	22	2022
Causal Effect Regularization: Automated Detection and Removal of Spurious Attributes A Kumar, A Deshpande, A Sharma Advances in Neural Information Processing Systems, 2024, 2023	10*	2023
Disentangling mixtures of unknown causal interventions A Kumar, G Sinha Uncertainty in Artificial Intelligence, 2093-2102, 2021	6	2021
Teaching transformers causal reasoning through axiomatic training A Vashishtha, A Kumar, A Pandey, AG Reddy, VN Balasubramanian, ... Causality and Large Models@ NeurIPS 2024, 2024	2	2024
A deep neural network method for analyzing the CMS High Granularity Calorimeter (HGCAL) events G Grasseau, A Kumar, A Sartirana, A Lobanov, F Beaudette EPJ Web of Conferences 245, 02003, 2020	2	2020
Learning Mixtures of Unknown Causal Interventions A Kumar, K Shiragur, C Uhler arXiv preprint arXiv:2411.00213, 2024		2024

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